Director, Data Science - Earnings Innovation & Automation

Walmart

Quick summary

Work type
On-site
Location
Bentonville, ARHoboken, NJ
Salary
$130,000–$260,000 / yr
Posted
60 days ago
Nearby
95 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $195k
$114k most similar roles pay here $276k

This role pays more than 51% of similar roles. Most pay $162,000–$240,000 — the shaded band above. At the midpoint, this role pays about $195k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 188 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Director, Data Science - Earnings Innovation & Automation

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As Director in Walmart’s Spark Driver Earnings team, you will lead the transformation of independent contractor earnings through advanced data science and automation. You’ll define and execute AI/ML strategies to enhance compliance, tax processes, and risk monitoring, while building a high-performing tiger team to rapidly develop and scale innovative solutions. Your daily tasks include developing intelligent automation using Python, SQL, TensorFlow, and PyTorch, ensuring model transparency and regulatory alignment, and collaborating with cross-functional teams to deliver measurable business impact. With experience in fintech or compliance-heavy domains and hands-on GenAI expertise, you will drive operational rigor and set best practices for the global contractor network.

Skills

Python TensorFlow PyTorch SQL GenAI LLMs CI/CD MLOps Kubernetes AWS Azure Google Cloud PostgreSQL Model Governance Risk Management Compliance Data Integrity

What you'll do

  • Define and lead AI/ML strategy for contractor earnings, tax, and compliance.
  • Build and lead a high-performing data science team to prototype and scale solutions.
  • Develop intelligent automation using ML and GenAI to improve accuracy and efficiency.
  • Embed compliance and governance into AI solutions to ensure regulatory alignment.
  • Scale machine learning capabilities into production with measurable business impact.

What we're looking for

  • 10+ years of experience in data science, ML, or AI with leadership in high-performing teams.
  • Proven track record of building and scaling production-grade ML/AI solutions in complex environments.
  • Expertise in Python, SQL, modern ML frameworks (TensorFlow, PyTorch), and fintech/payments/tax domains.
  • Hands-on experience with GenAI/LLMs applied to real-world business problems.
  • Strong understanding of model governance, explainability, and risk management.

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